As part of the NSF IGERT in Big Data Social Science, Pond Lab hosted a public poster session this afternoon.
A total of eleven different posters were presented, covering topics in big data that ranged from text processing and visualizing uncertainty to computing voter sentiment and analyzing data of patients’ heart rates.
I presented work on a GeoVISTA project that leverages geovisual analytics and Twitter to help users make sense of the spatiotemporal variation of place and topic mentions within hundreds of millions of tweets.
You can view my poster below (try viewing full screen with the button on the upper right).
For more information about SensePlace2, please visit the project web site.